org.allenai.nlpstack.parse.poly.decisiontree

FeatureVectors

Related Doc: package decisiontree

case class FeatureVectors(featureVectors: IndexedSeq[FeatureVector]) extends Product with Serializable

FeatureVectors is a convenience container for feature vectors.

The number of features must be the same for all feature vectors in the container.

featureVectors

collection of FeatureVector objects

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Instance Constructors

  1. new FeatureVectors(featureVectors: IndexedSeq[FeatureVector])

    featureVectors

    collection of FeatureVector objects

Value Members

  1. final def !=(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  4. lazy val allOutcomes: Seq[Int]

    Gets a uniqued sequence of all outcomes associated with feature vectors in this set.

  5. final def asInstanceOf[T0]: T0

    Definition Classes
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  6. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
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    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  8. val featureVectors: IndexedSeq[FeatureVector]

    collection of FeatureVector objects

  9. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] )
  10. def getBag: FeatureVectors

    Returns a "bag", i.e.

    Returns a "bag", i.e. N samples (with replacement) from this set of feature vectors, where N is the original size of this feature vector set.

    returns

    a randomly sampled bag

  11. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  12. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  14. final def notify(): Unit

    Definition Classes
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  15. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  16. def numFeatures: Int

    Gets the number of features in this collection.

    Gets the number of features in this collection.

    returns

    the number of features in this collection

  17. def numVectors: Int

    Gets the number of feature vectors in this collection.

    Gets the number of feature vectors in this collection.

    returns

    the number of feature vectors in this collection

  18. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
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  19. final def wait(): Unit

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    @throws( ... )
  20. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  21. final def wait(arg0: Long): Unit

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